Efficient category-based service discovery on multi-agent platform

Seungwok Han (), Hee Yong Youn () and Ohyoung Song ()
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Seungwok Han: Sungkyunkwan University
Hee Yong Youn: Sungkyunkwan University
Ohyoung Song: School of Electrical and Electronics Engineering Chung-Ang University

Information Systems Frontiers, 2012, vol. 14, issue 3, No 10, 616 pages

Abstract: Abstract Today, multi-agent technologies are widely used for realizing prevalent ubiquitous computing applications, in which service discovery is a critical task for finding a particular service instance. While JADE is a popular system for multi-agent applications, its directory facilitator (DF) used for service discovery employs a sequential search approach, which shows degraded performance when the number of registered services becomes large. This paper proposes a new DF scheme employing the category-based classification and search approach. It greatly reduces the search space and allows accurate matchmaking. The DF implemented with the proposed approach and JADE-DF are compared in terms of query response time and memory space requirement. It demonstrates that the proposed DF allows faster query processing than JADE-DF and requires smaller memory space, especially for a large number of services and queries of multiple parameters.

Keywords: Agent platform; Category based search; Context-awareness; Middleware; Service discovery (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10796-010-9281-x

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